From iclr-skills
Positions an ICLR paper against prior work, concurrent submissions, and benchmark lineages to survive reviewer scrutiny. Use when a reviewer cites a missed paper or disputes novelty.
How this skill is triggered — by the user, by Claude, or both
Slash command
/iclr-skills:iclr-related-workThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Use this to make the novelty claim robust under ICLR review. ICLR reviewers often know recent
Use this to make the novelty claim robust under ICLR review. ICLR reviewers often know recent OpenReview, arXiv, and workshop work, so the related-work strategy must survive public comparison.
Build the novelty claim as:
Prior work can <capability under stated conditions>.
It does not <specific missing capability or explanation>.
This paper shows <new mechanism/result/evidence>, under <scope>.
The claim is supported by <theory/experiment/artifact>.
ICLR reviewers and even community members can post a "this is just X" comment that stays online next to your paper forever. The defense is a precise difference axis, decided before submission.
| "Just like X" objection | Robust ICLR response | Fragile response |
|---|---|---|
| Same architecture | Different objective and what it changes representationally | "Ours is bigger" |
| Same benchmark | Different question the benchmark now answers | Higher number only |
| Concurrent arXiv preprint | Dated, scoped distinction, cited generously | Ignoring it and hoping |
| Reuses a known loss | The new analysis or regime where it behaves differently | Renaming the loss |
A submission proposes a masked-prediction objective for time-series transformers. A reviewer links a recent arXiv paper with a similar mask. Rather than dispute priority, the authors add a paragraph: the prior work masks contiguous spans for forecasting, while this paper masks frequency components and shows the representation transfers across sampling rates, supported by a transfer ablation. The difference axis is "what is masked and which invariance it buys," not "we got there first."
[Closest work] <paper/system/benchmark>
[Difference axis] problem / assumption / method / evidence / scale / theory / artifact
[Must-cite items] <recent OpenReview/arXiv/ICLR-adjacent work>
[Novelty risk] low / medium / high
[Revision text] <concise related-work paragraph or bullet>
npx claudepluginhub brycewang-stanford/awesome-journal-skills --plugin iclr-skillsPositions an ICML submission against close ML literature, concurrent submissions, and neighboring-venue papers. Use when novelty or concurrent-submission handling is a risk.
Positions a NeurIPS submission against current-cycle ML literature, preprints, and neighboring conferences. Outputs a structured related-work gap analysis with technical deltas.
Guides positioning of an AAAI paper's novelty against archival and contemporaneous work, with structured checks for reviewer expectations and dual-submission policy compliance.